2017
DOI: 10.5120/ijca2017913758
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Enhancing VANETs' Routing Operation with the Route Lifetime Policy

Abstract: Routing is continuous challenging issue in Vehicular Ad Hoc Networks (VANETs) given the intrinsic characteristics of these networks, especially limited resources and high mobility. Indeed, for any routing protocol to achieve acceptable network throughput performance it should adapt its operation to VANET high frequency topology change dynamics. In this paper an enhancement of such routing protocols is proposed using the Route Life Time (RLT) policy which purpose is to maintain the established route as long as … Show more

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Cited by 2 publications
(1 citation statement)
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“…Nabil et al [12] proposed an improvement to LAR protocol by imposing some conditions for redirecting the route request (RREQ) packets to the next node based on the assumption that both the source and the next node move in the same direction and are located in a pre-specified radius zone, as well as the period of time in which the next node will remain within the communication range. Lengliz and Slama [13] used a Route Life Time (RTL) Policy to improve AODV and DSR. The approach attempts to find the optimum distances between vehicles and the optimum speed to explore a route with the maximum life on a straight highway of two sides.…”
Section: Introductionmentioning
confidence: 99%
“…Nabil et al [12] proposed an improvement to LAR protocol by imposing some conditions for redirecting the route request (RREQ) packets to the next node based on the assumption that both the source and the next node move in the same direction and are located in a pre-specified radius zone, as well as the period of time in which the next node will remain within the communication range. Lengliz and Slama [13] used a Route Life Time (RTL) Policy to improve AODV and DSR. The approach attempts to find the optimum distances between vehicles and the optimum speed to explore a route with the maximum life on a straight highway of two sides.…”
Section: Introductionmentioning
confidence: 99%